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Record W2159129608 · doi:10.5539/ies.v3n4p73

Impact of Globalization on Higher Education: An Empirical Study of Education Policy & Planning of Design Education in Hong Kong

2010· article· en· W2159129608 on OpenAlexvenueno aff
Yan Yan Lam

Bibliographic record

VenueInternational Education Studies · 2010
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationFacilitatorCurriculumAccountabilityHigher educationPublic relationsContext (archaeology)Global educationSociologyPedagogyPolitical scienceEconomic growthEconomics

Abstract

fetched live from OpenAlex

This paper focuses on the impact of globalization in the domain of higher education, particularly, design education. It reviews how globalization may affect educational policy and planning in Hong Kong by drawing on an empirical study involving senior management, a course leader and a design trainer/facilitator. This paper not only illustrates the challenges of globalization to education sectors worldwide, but also brings the merits of globalization in education to the fore and considers the challenges that it presents to multidimensional phenomena. The diversity of curricula; professional mobility; accountability and quality remain as parts of a continuing dialogue in the context of the global community. Research into these issues could trigger and influence thinking on how local design education (in the tertiary and higher education sectors) might be restructured to satisfy educators’ hopes and desires for an ideal future in which design is promoted as being more imaginative, innovative, and eliciting wider responses to ideas, experiences, feelings, emotions, and intercultural cooperation in a globalizing world in both developed and developing nations. Rich data were collected through a series of individual interviews with design students, teaching staff and design practitioners together with a focus group discussion with key members of a curriculum planing team. This data were analyzed with reference to current literature on globalization, education reform and course planning strategy. The author was inspired by the fact that globalization drives changes in education towards global perspectives. However, institutions, society, stakeholders and the public, as well as governments in this global world, should be sharing the goal of ever-increasing excellence in teaching combined with concern for local and global contexts. The impact of globalization on education (design education) is a subject of debate and discourse within the whole global community.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.424

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.003
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.063
GPT teacher head0.453
Teacher spread0.389 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2010
Admission routes1
Has abstractyes

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